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Multi-input multi-output fuzzy logic controller for utility electric vehicle

机译：多功能电动汽车多输入多输出模糊逻辑控制器

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Currently commercialization of electric vehicle (EV) is based to minimize the time of starting and acceleration. To undergo this problem multi-input multi-output fuzzy logic controller (MIMO-FLC) affect on propelled traction system forming MMS process was proposed. This paper introduces a MIMO-FLC applied on speeds of electric vehicle, the electric drive consists of two directing wheels and two rear propulsion wheels equipped with two light weight induction motors. The EV is powered by two motors of 37 kilowatts each one, delivering a 476 Nm total torque. Its high torque (476Nm) is instantly available to ensure responsive acceleration performance in built-up areas. Acceleration and steering are ensured by an electronic differential system which maintains robust control for all cases of vehicle behavior on the road. It also allows controlling independently every driving wheel to turn at different speeds in any curve. Direct torque control based on space vector modulation (DTC-SVM) is proposed to achieve the tow rear driving wheel control. The MIMO-FLC control technique is simulated in MATLAB SIMULINK environment. The simulation results have proved that the MIMO-FLC method decreases the transient oscillations and assure efficiency comportment in all type of road constraints, straight, slope, descent and curved road compared to the single input single output fuzzy controller (SISO-FLC).
机译：当前，电动车辆（EV）的商业化基于最小化启动和加速的时间。针对这一问题，提出了多输入多输出模糊逻辑控制器（MIMO-FLC）对推进牵引系统形成MMS过程的影响。本文介绍了一种应用于电动汽车速度的MIMO-FLC，其电驱动装置由两个方向盘和两个后推进轮组成，并配有两个轻型感应电动机。电动汽车由两台功率分别为37千瓦的电动机提供动力，总扭矩为476 Nm。它的高扭矩（476Nm）可即时提供，以确保在建筑区域内具有响应性的加速性能。电子差速系统可确保加速和转向，该差速系统可对道路上所有车辆行为保持鲁棒的控制。它还允许独立控制每个驱动轮在任何曲线上以不同的速度转动。提出了基于空间矢量调制（DTC-SVM）的直接转矩控制，以实现拖曳后轮控制。在MATLAB SIMULINK环境中模拟了MIMO-FLC控制技术。仿真结果表明，与单输入单输出模糊控制器（SISO-FLC）相比，MIMO-FLC方法可减少瞬态振荡，并确保在各种类型的道路约束条件（直线，坡度，下降和弯道）上的效率相称。

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